Big Data

Many companies today are struggling to take advantage of Big Data. They have many new data sources and data types (variety), the amount of data is increasing (volume) and there is the increasing need for real-time data (velocity). Yet even with all the data and reporting investments of the last decade, many companies still pull data from the reporting infrastructure and other sources into a spreadsheet to find the answers they need to run their business. Their approach to big data is the same – store the (big) data, fix the (big) data, centralize the (big) data. Presumably they will then pull this new data into a spreadsheet too. This will adds cost – new software, new hardware, new skills required – but it’s not clear how it creates opportunity.

Doing the same thing the same way and expecting different results is often used as a definition of insanity. A saner approach to Big Data, and one that focuses on value, is needed – one that puts decisions first with Decision Management. Putting decisions first means identifying the decisions that impact your KPIs, decisions you make every day. It means understanding and modeling these decisions BEFORE you spend money on analytics or new data sources.

Decision Management:

  • Clearly identifies the potential business value of Big Data
  • Links improved decisions to key business objectives
  • Determines what kinds of analytics will improve decisions
  • Identifies automation opportunities

Looking at Big Data the way you looked at your old data is just going to add cost. To create a Big Data opportunity, first identify the decisions that matter to your business and then focus your Big Data analytics on those decisions.

Why Use Decision Management?

Decision Management:

  • Clearly identifies the potential business value of Big Data
  • Links improved decisions to key business objectives
  • Determines what kinds of analytics will improve decisions
  • Identifies automation opportunities

Contact us today to learn how we can help you implement decision management to get real value out of your big data.

For More Information:

 

HARNESS DATA-DRIVEN DECISION MAKING

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